Enhancement of Speech Compression Technique Using Wavelet Transforms With Parallel Processing and Fusion
 |
International Journal of Engineering Trends and Technology (IJETT) | 
|
| © 2013 by IJETT Journal | ||
| Volume-4 Issue-8 |
||
| Year of Publication : 2013 | ||
| Authors : S.Kamesh , V.Sailaja , K.Jyothi |
Citation
S.Kamesh , V.Sailaja , K.Jyothi. "Enhancement of Speech Compression Technique Using Wavelet Transforms With Parallel Processing and Fusion". International Journal of Engineering Trends and Technology (IJETT). V4(8):3639-3642 Aug 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Abstract
The Discrete Wavelet Transform is the most powerful and new signal compression technique which uses multi - resolution analysis for analyzing speech signal. Here we are doing parallel speech compression using two different wavelet transforms like Haar wavelets and Bi - orthogonal wavelet transformation (Bior). The resultant of components which are in high frequency bands are fusioned together and difference signal are used to reconstruct the speech which will gives t he enhancement in speech signal with less loss speech data in high frequency portion.
References
[1] S. M. Joseph, “Spoken digit compression using wavelet packet,” International conference on signal and image processing, PP: 255 - 2 59, 2010.
[2] M. A. Osman and N. Al, “Speech compression using LPC and wavelet,” 2 nd International conference on computer engineering and technology, PP: V7 - 92 – V7 - 99, 2010.
[3] J. Y. Zhang and L. X. Gao, “Research on the selection of wavelet function for the feature extraction of shock fult in the bearing diagnosis,” International conference on wavelet analysis and pattern recognition, PP: 1630 - 1634, 2007.
[4] R.S.Cai and Y.M.Guo, “Wavelet based multi feature V/UV speech classification algorithm,” International conference wireless mobile and sensor networks, PP: 897 – 900, 2007.
[5] S. Ranjan. “Exploring the DWT as a tool for Hindi speech recognition,” International journal of computer theory and engineering, PP: 642 - 646, 2010.
[6] Z. Dan and M. S. Qian, “Sppeech compression with best wavelet package transform and SPIHT algorithm,” 2 nd International conference on computer modeling and simulation, PP. 360 - 363, 2010.
[7] Kinsner and A.Langi, “Sp eech and Image Signal Compression with wavelets”, IEEE Wescanex conference proceedings, IEEE, New York, NY - 1993, PP. 368 - 375.
[8] Kornsing.S.; Srinonchat.J., "Enhancement Speech Compression Technique Using Modern Wavelet Transforms," Computer, Consumer a nd Control (IS3C), 2012 International Symposium on , vol., no., pp.393,396, 4 - 6 June 2012.
[9] E.B.Fgee, W.J.Philips, W.Robertson, “Comparing Audio Compression using Wavelets with other Audio Compression Schemes”, IEEE Canadian Conference on Electrical and Com puter Engineering, IEEE, Edmonton, Canada, 1999, pp.698 - 701.
Keywords
Speech signal compression; Haar wavelet; Bi - orthogonal wavelet; Discrete approximation of Meyer .